Clinical AI Scientist
Stanford University · Stanford, CA · 1 mo ago
On-siteEngineeringFull-time
What you'll do
- Help design translational studies that bring AI/ML solutions to real-world clinical problems across the ICU, NICU, and operating room, from framing the clinical question to defining how a model would be deployed and used at the bedside.
- Design clinical studies that evaluate those models, including prospective and real-world implementation studies.
- Lead data labeling and clinical annotation efforts, applying clinical judgment to build the high-quality labeled datasets that model development and evaluation depend on.
- Design highly collaborative projects and the grant applications that fund them, and represent the lab in team-science meetings with external collaborators.
- Advise trainees on the clinical relevance and translational framing of their projects.
- Help coordinate the lab's project portfolio and mentorship alongside the PI.
Who you are
- MD or equivalent medical degree (MBBS or international equivalent) with clinical training.
- High-energy and up to date on modern AI/ML, with real excitement about applying it to clinical problems.
- Familiarity with AI models and how they are evaluated is required. Hands-on experience building AI models is a plus, but not required.
- A strong communicator who can move fluidly between clinical and computational worlds.
- Open to candidates of any nationality; we sponsor and support your visa and green card.
What we offer
- A long-term, career-track staff position, not a time-limited training appointment.
- Visa sponsorship (cap-exempt H-1B) can be offered.
- ~15% protected time for your own scholarly visibility: co-authorships, named roles on grants, and invited perspectives.
- Work that reaches the bedside, in high-acuity settings where it matters most.
- Clinical training/experience (regardless of specialty) is mandatory.